Improving the quality and use of immunization and surveillance data: Summary report of the Working Group of the Strategic Advisory Group of Experts on Immunization

Heather M. Scobie, Michael Edelstein, Edward Nicol, Ana Morice, Nargis Rahimi, Noni E. MacDonald, M. Carolina Danovaro-Holliday, Jaleela Jawad

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

Concerns about the quality and use of immunization and vaccine-preventable disease (VPD) surveillance data have been highlighted on the global agenda for over two decades. In August 2017, the Strategic Advisory Group of Experts (SAGE) established a Working Group (WG) on the Quality and Use of Global Immunization and Surveillance Data to review the current status and evidence to make recommendations, which were presented to SAGE in October 2019. The WG synthesized evidence from landscape analyses, literature reviews, country case-studies, a data triangulation analysis, as well as surveys of experts. Data quality (DQ) was defined as data that are accurate, precise, relevant, complete, and timely enough for the intended purpose (fit-for-purpose), and data use as the degree to which data are actually used for defined purposes, e.g., immunization programme management, performance monitoring, decision-making. The WG outlined roles and responsibilities for immunization and surveillance DQ and use by programme level. The WG found that while DQ is dependent on quality data collection at health facilities, many interventions have targeted national and subnational levels, or have focused on new technologies, rather than the people and enabling environments required for functional information systems. The WG concluded that sustainable improvements in immunization and surveillance DQ and use will require efforts across the health system — governance, people, tools, and processes, including use of data for continuous quality improvement (CQI) — and that the approaches need to be context-specific, country-owned and driven from the frontline up. At the country level, major efforts are needed to: (1) embed monitoring DQ and use alongside monitoring of immunization and surveillance performance, (2) increase workforce capacity and capability for DQ and use, starting at the facility level, (3) improve the accuracy of immunization programme targets (denominators), (4) enhance use of existing data for tailored programme action (e.g., immunization programme planning, management and policy-change), (5) adopt a data-driven CQI approach as part of health system strengthening, (6) strengthen governance around piloting and implementation of new information and communication technology tools, and (7) improve data sharing and knowledge management across areas and organizations for improved transparency and efficiency. Global and regional partners are requested to support countries in adopting relevant recommendations for their setting and to continue strengthening the reporting and monitoring of immunization and VPD surveillance data through processes periodic needs assessment and revision processes. This summary of the WG's findings and recommendations can support “data-guided” implementation of the new Immunization Agenda 2030.

Original languageEnglish
Pages (from-to)7183-7197
Number of pages15
JournalVaccine
Volume38
Issue number46
DOIs
StatePublished - 27 Oct 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020

Funding

This paper represents the work of the SAGE Working Group on Quality and Use of Global Immunization and Surveillance Data. We dedicate this work to Anthony (Tony) Burton (retired from WHO), a public health and data champion who passed away in July 2018. Tony was an inspiration to many of us working on immunization in general and immunization data in particular. The WG thanks key informants who were from Ministries of Health, the World Health Organization Headquarters and Regional Offices, several Country Offices, UNICEF, Gavi, the Bill & Melinda Gates Foundation, the United States Centers for Disease Control and Prevention (CDC), the International Red Cross, and several independent consultants. We also acknowledge the following institutions and individuals for their support in the reviews, case studies and/or other aspects of the report: Denise DeRoeck (Independent Consultant); David Brown (Independent Consultant); Marta Gacic-Dobo, Jan Grevendonk, Minal Patel, Adam Cohen, Laure Dumolard, Sebastien Antoni and polio team (WHO-Headquarters); Alain Poy and team (AFRO); Martha Velandia, Marcela Contreras, Robin Mowson and team (AMRO/PAHO); Kamal Fahmy and team (EMRO); Siddhartha Datta, Paul Chenoweth and team (EURO); Roberta Pastore and team (WPRO) Sharifuzzamanm Md and team (SEARO); Mamadou S. Diallo and regional office staff (UNICEF); Liz Krow-Lucal, Morgane Donadel, Chris Murrill, Angela Montesanti, Peter Bloland, Anita Samuel, Richard Franka, Kirsten Ward, Kristie Clarke, Lora Davis, Amalia King, Steve Wassilak (CDC); Nalini Iyanger (PHE); Allison Osterman Jessica Shearer, Nicole Salisbury, Laurie Werner and team (PATH); Katherine Harrison (Shifo); Eunice Turawa (Stellenbosch University). Finally, we thank the thousands of anonymous health workers who make immunization possible across the globe. Thanks also to anyone of the many people who contribute to this work that we may have inadvertently and regrettably omitted. This work was supported by the World Health Organization and its donors for immunization data quality and use. This work was supported by the World Health Organization and its donors for immunization data quality and use.

FundersFunder number
Eunice Turawa
Kamal Fahmy
Marcela Contreras
Marta Gacic-Dobo
Martha Velandia
Nalini Iyanger
Roberta Pastore
Robin Mowson
SEARO
Sebastien Antoni and polio team
Sharifuzzamanm Md and team
Siddhartha Datta
WHO-Headquarters
WPRO
World Health Organization Headquarters and Regional Offices
Centers for Disease Control and Prevention
Bill and Melinda Gates Foundation
St. Joseph Health Ministries
World Health Organization
UNICEF
American Red Cross
Public Health England
Universiteit Stellenbosch

    Keywords

    • Data quality
    • Data use
    • Immunization
    • Information systems
    • Surveillance
    • Vaccination
    • Vaccination coverage
    • Vaccine-preventable disease

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